metoro-io/metoro-mcp-server
by Various
Metoro MCP Server
MCP
metoro-io/metoro-mcp-server
Added 1 June 2026
Overview
Metoro MCP Server is an open-source Go server that implements the Model Context Protocol to let AI agents query and act on your Kubernetes clusters. It connects to a Kubernetes API server, retrieves resource state, logs, and events, and exposes those as tools a compatible LLM client can call.
Best for
Best for
Developers and platform engineers who want to integrate LLM-based assistants with their Kubernetes environments
Use cases
- Debugging pod failures by asking an AI agent to check recent events and logs
- Automating routine cluster inspections without manual kubectl commands
- Enabling natural-language queries of Kubernetes resource status and metadata
How to use
Install
go build -o metoro-mcp-server Tools exposed
go
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "metoro-mcp-server": {\n "command": "<your path to Metoro MCP server go executable>/metoro-mcp-server",\n "args": [],\n "env": {\n "METORO_AUTH_TOKEN" : "<your auth token>",\n "METORO_API_URL": "https://us-east.metoro.io"\n }\n }\n }\n} Notes
Metoro MCP Server is an open-source Go server that implements the Model Context Protocol to let AI agents query and act on your Kubernetes clusters. It connects to a Kubernetes API server, retrieves resource state, logs, and events, and exposes those as tools a compatible LLM client can call.
50 stars on GitHub. Last updated 2026-05-28. Licensed MIT.
Use cases
- Debugging pod failures by asking an AI agent to check recent events and logs
- Automating routine cluster inspections without manual kubectl commands
- Enabling natural-language queries of Kubernetes resource status and metadata
Pros
- Low overhead Go server with a single binary deployment
- Provides structured access to live Kubernetes data for LLM agents
- Open source with a permissive license and active development
Cons
- Requires cluster-level read permissions and a running companion server
- Limited to querying existing state, no support for mutating cluster resources
- Small community and fewer integrations compared to established kubectl plugins
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Low overhead Go server with a single binary deployment
- Provides structured access to live Kubernetes data for LLM agents
- Open source with a permissive license and active development
Cons
- Requires cluster-level read permissions and a running companion server
- Limited to querying existing state, no support for mutating cluster resources
- Small community and fewer integrations compared to established kubectl plugins
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